Jarid Goodman

1.2k total citations
30 papers, 788 citations indexed

About

Jarid Goodman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Jarid Goodman has authored 30 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 15 papers in Behavioral Neuroscience. Recurrent topics in Jarid Goodman's work include Memory and Neural Mechanisms (23 papers), Stress Responses and Cortisol (15 papers) and Neuroscience and Neuropharmacology Research (15 papers). Jarid Goodman is often cited by papers focused on Memory and Neural Mechanisms (23 papers), Stress Responses and Cortisol (15 papers) and Neuroscience and Neuropharmacology Research (15 papers). Jarid Goodman collaborates with scholars based in United States. Jarid Goodman's co-authors include Mark G. Packard, Kah-Chung Leong, M.G. Packard, Reed L. Ressler, Rachel Marsh, Bradley S. Peterson, Christa K. McIntyre, Stephen Maren, Travis D. Goode and Jeffrey C. Wingard and has published in prestigious journals such as Biological Psychiatry, Neuroscience and Journal of Child Psychology and Psychiatry.

In The Last Decade

Jarid Goodman

30 papers receiving 773 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jarid Goodman United States 16 508 389 223 186 77 30 788
Boglárka Barsy Hungary 13 445 0.9× 435 1.1× 198 0.9× 221 1.2× 98 1.3× 13 850
Bill P. Godsil France 15 547 1.1× 523 1.3× 387 1.7× 205 1.1× 61 0.8× 19 1.1k
Eun Joo Kim United States 13 400 0.8× 256 0.7× 403 1.8× 311 1.7× 57 0.7× 27 1.0k
Deanna L. Wallace United States 13 358 0.7× 403 1.0× 162 0.7× 181 1.0× 57 0.7× 15 987
Stefano Gaburro Germany 17 390 0.8× 490 1.3× 338 1.5× 229 1.2× 108 1.4× 24 1.1k
K. Myers United States 3 688 1.4× 508 1.3× 342 1.5× 205 1.1× 75 1.0× 8 1.0k
Pascale Gisquet-Verrier France 20 852 1.7× 616 1.6× 402 1.8× 213 1.1× 40 0.5× 53 1.2k
Roger Marek Australia 10 571 1.1× 485 1.2× 206 0.9× 141 0.8× 32 0.4× 15 878
Francesca Federico Italy 14 326 0.6× 208 0.5× 122 0.5× 136 0.7× 47 0.6× 31 802
Sean C. Lim United States 8 335 0.7× 374 1.0× 315 1.4× 193 1.0× 167 2.2× 9 927

Countries citing papers authored by Jarid Goodman

Since Specialization
Citations

This map shows the geographic impact of Jarid Goodman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jarid Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarid Goodman more than expected).

Fields of papers citing papers by Jarid Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jarid Goodman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jarid Goodman. The network helps show where Jarid Goodman may publish in the future.

Co-authorship network of co-authors of Jarid Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Jarid Goodman. A scholar is included among the top collaborators of Jarid Goodman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jarid Goodman. Jarid Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goodman, Jarid, et al.. (2022). Chronic corticosterone administration in adolescence enhances dorsolateral striatum-dependent learning in adulthood. Frontiers in Behavioral Neuroscience. 16. 970304–970304. 2 indexed citations
2.
Goodman, Jarid, Kah-Chung Leong, & Mark G. Packard. (2022). NMDA receptor blockade in the dorsolateral striatum impairs consolidation but not retrieval of habit memory. Neurobiology of Learning and Memory. 197. 107709–107709. 2 indexed citations
3.
Goodman, Jarid. (2021). Place vs. Response Learning: History, Controversy, and Neurobiology. Frontiers in Behavioral Neuroscience. 14. 598570–598570. 24 indexed citations
4.
Packard, Mark G., et al.. (2021). Neural systems and the emotion-memory link. Neurobiology of Learning and Memory. 185. 107503–107503. 6 indexed citations
5.
Goodman, Jarid, et al.. (2020). Threat-induced modulation of hippocampal and striatal memory systems during navigation of a virtual environment. Neurobiology of Learning and Memory. 168. 107160–107160. 9 indexed citations
6.
Goodman, Jarid, et al.. (2019). NMDA receptors in the basolateral amygdala mediate acquisition and extinction of an amphetamine conditioned place preference.. Behavioral Neuroscience. 133(4). 428–436. 8 indexed citations
7.
Goodman, Jarid & Mark G. Packard. (2018). The role of the dorsal striatum in extinction: A memory systems perspective. Neurobiology of Learning and Memory. 150. 48–55. 18 indexed citations
8.
Goodman, Jarid, et al.. (2017). Differential effects of neural inactivation of the dorsolateral striatum on response and latent extinction.. Behavioral Neuroscience. 131(2). 143–148. 5 indexed citations
9.
Goodman, Jarid & Christa K. McIntyre. (2017). Impaired Spatial Memory and Enhanced Habit Memory in a Rat Model of Post-traumatic Stress Disorder. Frontiers in Pharmacology. 8. 663–663. 14 indexed citations
10.
Goode, Travis D., Kah-Chung Leong, Jarid Goodman, Stephen Maren, & Mark G. Packard. (2016). Enhancement of striatum-dependent memory by conditioned fear is mediated by beta-adrenergic receptors in the basolateral amygdala. Neurobiology of Stress. 3. 74–82. 29 indexed citations
11.
Goodman, Jarid & Mark G. Packard. (2016). Memory Systems and the Addicted Brain. Frontiers in Psychiatry. 7. 24–24. 98 indexed citations
12.
Leong, Kah-Chung, Jarid Goodman, & Mark G. Packard. (2015). Post-training re-exposure to fear conditioned stimuli enhances memory consolidation and biases rats toward the use of dorsolateral striatum-dependent response learning. Behavioural Brain Research. 291. 195–200. 25 indexed citations
13.
Wingard, Jeffrey C., Jarid Goodman, Kah-Chung Leong, & Mark G. Packard. (2015). Differential effects of massed and spaced training on place and response learning: A memory systems perspective. Behavioural Processes. 118. 85–89. 21 indexed citations
14.
Goodman, Jarid, Kah-Chung Leong, & M.G. Packard. (2015). Glucocorticoid enhancement of dorsolateral striatum-dependent habit memory requires concurrent noradrenergic activity. Neuroscience. 311. 1–8. 26 indexed citations
15.
Goodman, Jarid & Mark G. Packard. (2015). The Memory System Engaged During Acquisition Determines the Effectiveness of Different Extinction Protocols. Frontiers in Behavioral Neuroscience. 9. 314–314. 10 indexed citations
16.
Goodman, Jarid & Mark G. Packard. (2015). The influence of cannabinoids on learning and memory processes of the dorsal striatum. Neurobiology of Learning and Memory. 125. 1–14. 55 indexed citations
18.
Goodman, Jarid, Rachel Marsh, Bradley S. Peterson, & Mark G. Packard. (2013). Annual Research Review: The neurobehavioral development of multiple memory systems – implications for childhood and adolescent psychiatric disorders. Journal of Child Psychology and Psychiatry. 55(6). 582–610. 60 indexed citations
19.
Packard, Mark G. & Jarid Goodman. (2013). Factors that influence the relative use of multiple memory systems. Hippocampus. 23(11). 1044–1052. 101 indexed citations
20.
Goodman, Jarid, Kah-Chung Leong, & Mark G. Packard. (2012). Emotional modulation of multiple memory systems: implications for the neurobiology of post-traumatic stress disorder. Reviews in the Neurosciences. 23(5-6). 627–43. 76 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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